- This is the GitHub page of course SDS 383D. All the exercises, solutions, and code will be posted.
- Solution to every exercise is edited by
blue
font in each section.
Solutions are available in the folder section01
with file name sds-383d-section01.pdf
file.
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1.1 Exchangeability and de Finetti's theorem
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1.2 The exponential family of distributions
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1.3 Multivariate normal distribution
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1.4 Frequentist estimation and uncertainty quantification
Solutions are available in the folder section02
with file name sds-383d-section02.pdf
file.
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2.1 Bayesian inference in a simple Gaussian model
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2.2 Bayesian inference in a multivariate Gaussian model
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2.3 A Gaussian linear model
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2.4 A hierarchical Gaussian linear model
Solutions are available in the folder section03
with file name sds-383d-section03.pdf
file.
- 3.1 Modeling non-Gaussian observations
Solutions are available in the folder section04
with file name sds-383d-section04.pdf
file.
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4.1 Non-linear functions
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4.2 Model selection
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4.3 Beyond regression: non-conjugate likelihoods